Electrical Transmission Lines Design through Integer Multiobjective Particle Swarm Optimization Approach

Electrical Transmission Lines (ETL) design is normally performed aiming to reach minimum cost while satisfying project requirements. However, achieving one only design goal may not be sufficient, as the designer may need to impose other technical design metrics. This work aims to perform the ETL design task while offering the designer the possibility to impose other design goals than cost, like the ETL reliability efficiency. Multiobjective optimization algorithms are therefore suggested to perform the design task. An improved multiobjective integer version of Particle Swarm Optimization, the Integer Multiobjective Particle Swarm Optimization (IMOPSO), is proposed in this paper. The IMOPSO is applied in order to solve the multiobjective ETL design showing promising results. Conclusions are drawn regarding the IMOPSO algorithm performance and design results, through statistical analysis.